package com.zry.ai.controller;

import com.zry.ai.repository.ChatHistoryRepository;
import lombok.RequiredArgsConstructor;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor;
import org.springframework.ai.model.Media;
import org.springframework.util.MimeType;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;
import reactor.core.publisher.Flux;

import java.util.List;
import java.util.Objects;

import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_CONVERSATION_ID_KEY;

@RequiredArgsConstructor
@RestController
@RequestMapping(value = "/ai", produces = "text/html;charset=utf-8")
public class ChatController {
    private final ChatClient chatClient;
    private final ChatHistoryRepository chatHistoryRepository;

    @RequestMapping("/chat")
    public Flux<String> chat(@RequestParam("prompt") String prompt,
                             @RequestParam("chatId") String chatId,
                             @RequestParam(value = "files",required = false)  List<MultipartFile> files) {
        //1.保存会话ID
        chatHistoryRepository.save("chat", chatId);//应该使用枚举，优雅

        if (files == null || files.isEmpty()) {
            //没有附件，纯文本聊天
            return textChat(prompt, chatId);
        } else {

            return multiModalChat(prompt, chatId, files);
        }

    }

    private Flux<String> multiModalChat(String prompt, String chatId, List<MultipartFile> files) {
        //1.解析多媒体
        List<Media> medias = files.stream()
                .map(file -> new Media(MimeType.valueOf(Objects.requireNonNull(file.getContentType())),
                        file.getResource())).toList();

        return chatClient.prompt()
                .user(p->p.text(prompt).media(medias.toArray(Media[]::new)))
                .advisors(advisorSpec -> advisorSpec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId))
                .stream()
                .content();
    }

    private Flux<String> textChat(String prompt, String chatId) {
        return chatClient.prompt()
                .user(prompt)
                .advisors(advisorSpec -> advisorSpec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId))
                .stream()
                .content();
    }
}
